In addition to univariate analyses, the data of the five speech recognition tests were analyzed by fitting multiple marginal linear regression models using generalized estimating equations. If the first-order autocorrelation (i.e., AR(1)) structure fit the repeated measures data well, the model-based standard error estimates were used in the generalized estimating equations analysis; otherwise, the empirical standard error estimates were reported. In addition, the data of COSI were analyzed by fitting multiple linear regression models.